Results 101 to 110 of about 2,418,601 (257)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Physical Layer Security: Channel Sounding Results for the Multi-Antenna Wiretap Channel. [PDF]

Entropy (Basel), 2023
Harman D, Knapp K, Sweat T, Lundrigan P, Rice M, Harrison W.   +5 more
europepmc   +1 more source

Efficient Process Development for Laser Powder Bed Fusion of a Soft‐Magnetic Metallic Glass Composite

Advanced Engineering Materials, EarlyView.
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand, Priyanka Saha, Vidhiaza Leviandhika, Urban Wiklund, Alexander Elsen, Carolin Zintel, Lena Thorsson, Petra E. Jönsson   +7 more
wiley   +1 more source

Adaptive Parameters for LoRa-Based Networks Physical-Layer. [PDF]

Sensors (Basel), 2023
Silva EF, Figueiredo LM, de Oliveira LA, Chaves LJ, de Oliveira AL, Rosário D, Cerqueira E.   +6 more
europepmc   +1 more source

Effects of Carbon Nanoparticles on Triboelectro‐Induced Surface Defects

Advanced Engineering Materials, EarlyView.
Carbon nanoparticles added to grease modify the electrocontact behavior. The synergy of particle concentration and electric current dominates the surface damage of metals in contact. Electrical surface damage caused by current leakage is a critical challenge in high‐performance applications such as electric vehicle (EV) drivetrains and wind turbine ...
Mohsen Tajedini, Lu Fang, Jacob Bons, Mohammad Humaun Kabir, Evan Johnson, Joe Kosmoski, Hong Liang   +6 more
wiley   +1 more source

Physical-layer data of IRIDIUM satellites broadcast messages. [PDF]

Data Brief, 2023
Oligeri G, Sciancalepore S, Di Pietro R.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Physical-Layer Security with Irregular Reconfigurable Intelligent Surfaces for 6G Networks. [PDF]

Sensors (Basel), 2023
Frimpong EO, Oh BH, Kim T, Bang I.
europepmc   +1 more source

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert, Matheus Roberto Bellé, Anton Yehorov, Anhelina Mospan, Till M. J. Stadtmüller, Seetharaman Sridhar, Christos G. Aneziris, Olena Volkova   +7 more
wiley   +1 more source

Hardware and Deep Learning-Based Authentication Through Enhanced RF Fingerprints of 3D-Printed Chaotic Antenna Arrays

IEEE Access
Radio frequency (RF) fingerprinting is a hardware-based authentication technique utilizing the distinct distortions in the received signal due to the unique hardware differences in the transmitting device.
Justin O. McMillen, Fawaz Abdul Razak, Gokhan Mumcu, Yasin Yilmaz   +3 more
doaj   +1 more source